Mac15,12
Geekbench AI Score
4112
Single Precision Score
7065
Half Precision Score
5697
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AmrM3 |
| Upload Date | December 06 2025 09:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2086
389.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8922
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17411
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14990
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7128
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12894
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9061
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34454
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28575
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5201
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5376
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5356
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6554
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6453
111.5 IPS |
